# Packages ----
library(h2o)
----------------------------------------------------------------------
Your next step is to start H2O:
> h2o.init()
For H2O package documentation, ask for help:
> ??h2o
After starting H2O, you can use the Web UI at http://localhost:54321
For more information visit http://docs.h2o.ai
----------------------------------------------------------------------
Attaching package: ‘h2o’
The following objects are masked from ‘package:stats’:
cor, sd, var
The following objects are masked from ‘package:base’:
&&, %*%, %in%, ||, apply, as.factor, as.numeric,
colnames, colnames<-, ifelse, is.character,
is.factor, is.numeric, log, log10, log1p, log2,
round, signif, trunc
library(tidyverse)
[37m── [1mAttaching packages[22m ───────────────────── tidyverse 1.2.1 ──[39m
[37m[32m✔[37m [34mggplot2[37m 3.1.0 [32m✔[37m [34mpurrr [37m 0.3.0
[32m✔[37m [34mtibble [37m 2.0.1 [32m✔[37m [34mdplyr [37m 0.8.0.[31m1[37m
[32m✔[37m [34mtidyr [37m 0.8.2 [32m✔[37m [34mstringr[37m 1.4.0
[32m✔[37m [34mreadr [37m 1.3.1 [32m✔[37m [34mforcats[37m 0.4.0 [39m
[37m── [1mConflicts[22m ──────────────────────── tidyverse_conflicts() ──
[31m✖[37m [34mdplyr[37m::[32mfilter()[37m masks [34mstats[37m::filter()
[31m✖[37m [34mdplyr[37m::[32mlag()[37m masks [34mstats[37m::lag()[39m
# h2o
h2o.init()
H2O is not running yet, starting it now...
Note: In case of errors look at the following log files:
/var/folders/d_/_k539mwd3xsg0chwvt782vzm0000gn/T//Rtmpas3Pbj/h2o_jamesblair_started_from_r.out
/var/folders/d_/_k539mwd3xsg0chwvt782vzm0000gn/T//Rtmpas3Pbj/h2o_jamesblair_started_from_r.err
java version "1.8.0_172"
Java(TM) SE Runtime Environment (build 1.8.0_172-b11)
Java HotSpot(TM) 64-Bit Server VM (build 25.172-b11, mixed mode)
Starting H2O JVM and connecting: .. Connection successful!
R is connected to the H2O cluster:
H2O cluster uptime: 2 seconds 368 milliseconds
H2O cluster timezone: America/Denver
H2O data parsing timezone: UTC
H2O cluster version: 3.22.1.2
H2O cluster version age: 1 month and 1 day
H2O cluster name: H2O_started_from_R_jamesblair_xsp203
H2O cluster total nodes: 1
H2O cluster total memory: 3.56 GB
H2O cluster total cores: 8
H2O cluster allowed cores: 8
H2O cluster healthy: TRUE
H2O Connection ip: localhost
H2O Connection port: 54321
H2O Connection proxy: NA
H2O Internal Security: FALSE
H2O API Extensions: XGBoost, Algos, AutoML, Core V3, Core V4
R Version: R version 3.5.2 (2018-12-20)
Data
Modeling
LS0tCnRpdGxlOiAiaDJvIERlbW8iCm91dHB1dDogaHRtbF9ub3RlYm9vawotLS0KCmBgYHtyIHNldHVwfQojIFBhY2thZ2VzIC0tLS0KbGlicmFyeShoMm8pCmxpYnJhcnkodGlkeXZlcnNlKQoKIyBoMm8KaDJvLmluaXQoKQpgYGAKCiMjIERhdGEKYGBge3J9CgpgYGAKCiMjIE1vZGVsaW5nCmBgYHtyfQoKYGBgCgoKCg==